Quantum Hardware Software Systems

Quantum science,
built to run
on real hardware.

We turn cutting-edge quantum physics research into software that actually ships. Algorithm design, hybrid classical-quantum systems, and technical consulting for enterprises that want to act now, not wait for the hype to settle.

Talk to us What we do
59+ Peer-reviewed publications
350+ Academic citations
5 Countries of research
The company

Not a
lab experiment.

Quantum Hardware Software Systems LLC was built on a simple premise: the gap between quantum research and working software shouldn't be as wide as it is.

We combine deep academic expertise in quantum physics with real software engineering. We understand not just what's theoretically possible, but what's buildable today on actual quantum processors — and what will be production-ready tomorrow.

A US-registered company working with clients across North America, Europe, and Asia-Pacific. Our engagements range from exploratory research to full software delivery.

LLC · New Mexico, USA NISQ-era specialists Global delivery B2B enterprise
Dr. Krzysztof Pomorski
Dr. Krzysztof Pomorski
Co-founder & CEO

Quantum physicist with PhD-level research spanning superconducting qubits, Josephson junctions, and semiconductor quantum dots. Fellow at University of New Mexico. Previously at Cracow University of Technology, University College Dublin, and Nagoya University. 59 publications, 350+ citations.

Superconducting qubits Josephson junctions Quantum AI Semiconductor QDs
LinkedIn profile
Sebastian Bochenek
Sebastian Bochenek
Co-founder & Business Development

Software entrepreneur and business builder. Bridges the gap between quantum research and commercial products. Leads strategy, enterprise partnerships, and go-to-market across the US and Europe.

Enterprise software Go-to-market B2B partnerships
LinkedIn profile
Services

What we
actually deliver.

Six focused service areas. No buzzword-driven proposals, just clear deliverables matched to where you are in your quantum journey.

01
Quantum Algorithm Design
Custom quantum algorithms for your specific computational problem — optimization, simulation, sampling, or search. Designed for NISQ hardware today and fault-tolerant architectures tomorrow.
02
Hybrid Classical-Quantum Systems
Architecture and delivery of systems that combine classical HPC with quantum processing units. Real quantum advantage, integrated into your existing infrastructure.
03
Circuit Optimization
Depth reduction, gate decomposition, and noise mitigation tailored to your target QPU. Compatible with IBM Quantum, IonQ, Quantinuum, AWS Braket, and Azure Quantum.
04
Device Simulation & Modeling
Physics-accurate quantum device simulation — Josephson junction modeling, semiconductor quantum dot dynamics, and quantum state evolution on classical hardware.
05
Quantum Machine Learning
QML model design and integration into your AI stack. Variational quantum classifiers, quantum neural networks, and quantum-enhanced feature spaces — built to bridge physics and production ML.
06
R&D Consulting
Strategic guidance for corporate quantum programs. Technology roadmapping, hardware vendor evaluation, team upskilling, and facilitated research partnerships with academic institutions.
How we work

Research-grade science.
Production-quality code.

01

Gate-level precision

We work at the gate level — decomposing algorithms into hardware-native gate sets while accounting for T1/T2 times, crosstalk, and measurement error rates on your target QPU.

02

Hardware-aware compilation

Circuit compilation and transpilation pipelines built specifically for the hardware you're running on — not generic transpilers optimized for demo circuits.

03

Rigorous error mitigation

Zero-noise extrapolation, probabilistic error cancellation, and symmetry verification. We squeeze the most signal out of NISQ devices before fault-tolerance arrives.

04

Open standards, auditable code

Everything is built on Qiskit, PennyLane, Cirq, and OpenQASM. You own the code, you can audit it, and it stays portable across hardware generations.

vqe_h2_molecule.py
# VQE ground state estimation for H₂ # hardware-efficient ansatz, error mitigated from qiskit import QuantumCircuit from qiskit.primitives import Estimator from qiskit_algorithms import VQE # Hardware-efficient ansatz qc = QuantumCircuit(4) qc.h([0, 1]) qc.cx(0, 1) qc.ry(θ[0], 2) qc.cx(2, 3) qc.rz(θ[1], 3) # Minimize ⟨ψ(θ)|H|ψ(θ)⟩ solver = VQE( ansatz=qc, optimizer=COBYLA(maxiter=500), estimator=Estimator() ) result = solver.compute_minimum_eigenvalue(H) # E₀ = −1.1372 Ha ✓ (Δ < 1 mHa)
Scientific foundations

The physics
is the product.

59+
Peer-reviewed publications
350+
Academic citations
5
Countries of research activity
NISQ
Hardware-first approach

Our scientific foundation comes from over a decade of original research spanning superconducting qubits, semiconductor quantum dot devices, Josephson junction physics, and quantum information theory.

Dr. Pomorski has published at institutions across the US, Poland, Ireland, and Japan. That cross-disciplinary grounding is what makes our software different: it's written by people who understand the hardware from first principles, not just the SDK documentation.

View research profile
Josephson junctions Semiconductor nanowires Quantum dots Quantum information Quaternionic QM Classical-quantum hybrid
01
From quantum hardware to quantum AI K. Pomorski · ResearchGate, 2019
02
Room-temperature emulation of single-electron devices via classical analog electronics K. Pomorski · Semiconductor quantum devices
03
Quaternionic description of semiconductor quantum dots-based electronics K. Pomorski · Quantum information theory
04
Josephson energy quantization and validity of quantization approaches K. Pomorski · Superconducting circuits
Industries

Quantum advantage is
sector-agnostic.

We've mapped our capabilities to eight sectors where quantum computing is already creating measurable edge.

Pharmaceuticals
Molecular simulation, protein folding, drug discovery
Finance
Portfolio optimization, Monte Carlo acceleration, risk modeling
Defense & Aerospace
Quantum sensing, secure communications, GPS-independent navigation
Energy & Materials
Materials discovery, grid optimization, catalysis simulation
Logistics
Combinatorial optimization, routing, supply chain scheduling
AI & Machine Learning
Quantum-enhanced models, QML pipelines, variational inference
Research Institutions
Algorithm R&D tooling, simulation infrastructure, academic collaboration
Technology
Quantum-ready software architectures, SDK integration, QPU access
Engagement model

How an engagement
actually runs.

01
Problem mapping
We spend time understanding your computational bottleneck, map it to problem classes where quantum has a real advantage, and give you an honest assessment of what's possible now versus later.
02
Algorithm design
Research-backed algorithm selection and circuit design. Hardware-agnostic first, then optimized for your target device — with complexity analysis and expected speedup estimates.
03
Prototype & validate
Simulation on classical hardware, followed by validation runs on real quantum processors. You get benchmarking reports, error characterization, and a clear go/no-go on production readiness.
04
Integrate & maintain
Production integration with API wrappers, CI/CD pipelines, and monitoring dashboards. We stay on for performance tracking and can upgrade algorithms as better hardware becomes available.
Start a conversation

Ready to find out what
quantum can do for your business?

Whether you're at the research phase or ready to build, we'll give you a straight answer on what's achievable and what it takes to get there.

Send us an email Read the research
Quantum Hardware Software Systems LLC  ·  Entity #0008079083  ·  State of New Mexico, USA